| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Texas Instruments |
KIT DEV PFC C2000 |
3 |
|
 |
Texas Instruments |
EVALUATION MODULE FOR BQ2419 |
1 |
|
 |
Texas Instruments |
TPS27S100BEVM |
3 |
|
 |
Texas Instruments |
EVALUATION MODULE TPS259230 |
4 |
|
 |
Texas Instruments |
DRV8703-Q1EVM |
6 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS2511-141 |
3 |
|
 |
Texas Instruments |
BOARD EVAL FOR LM25311650 |
3 |
|
 |
Texas Instruments |
EVAL BOARD FOR PCM1860 |
2 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS2041B-292 |
1 |
|
 |
Texas Instruments |
EVAL MOD FOR BQ24012 |
2 |
|
 |
Texas Instruments |
EVAL MODULE FOR INA3221 |
3 |
|
 |
Texas Instruments |
TSW1266EVM EVALUATION MODULE |
1 |
|
 |
Texas Instruments |
EVAL MODULE FOR BQ3050-001 |
3 |
|
 |
Texas Instruments |
EVAL BOARD FOR TPS22967 |
1 |
|
 |
Texas Instruments |
EVAL BOARD FOR DRV10983-Q1 |
12 |
|
 |
Texas Instruments |
MODULE EVAL FOR TPS3831G33-187 |
6 |
|
 |
Texas Instruments |
EVAL MODULE FOR CDCM9102 |
1 |
|
 |
Texas Instruments |
EVAL BOARD DGTL ISO 3KV 4CH |
2 |
|
 |
Texas Instruments |
EVAL BOARD FOR DS80PCI810 |
2 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS65290 |
2 |
|
Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.
| Type | Functional Features | Application Examples |
|---|---|---|
| Microcontroller Development Boards | Embedded CPUs, GPIOs, integrated peripherals | IoT devices, robotics |
| FPGA Evaluation Boards | Reconfigurable logic, high-speed interfaces | Communication systems, AI accelerators |
| Sensor Expansion Kits | Multi-sensor integration (temperature, motion, etc.) | Smart agriculture, environmental monitoring |
| Wireless Communication Modules | Bluetooth/Wi-Fi/LoRa protocols, antenna interfaces | Connected healthcare, smart cities |
Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.
| Parameter | Description |
|---|---|
| Processor Performance (MHz/GHz) | Determines computational capability |
| Memory Capacity (RAM/Flash) | Affects program complexity and data storage |
| Interface Types | Dictates peripheral compatibility |
| Power Consumption (mW/MHz) | Critical for battery-operated devices |
| Operating Temperature (-40 C to +85 C) | Defines environmental durability |
- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes
| Manufacturer | Representative Products |
|---|---|
| STMicroelectronics | STM32 Nucleo Series, SensorTile Kit |
| Intel | Intel Edison, Movidius Neural Compute Stick |
| Xilinx | Zynq UltraScale+ MPSoC Evaluation Kit |
| Arduino | Arduino MKR Series, Nano 33 IoT |
Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support
- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)